data analyst Jobs in Dubai Jobs In Dubai Jobs In Ajman

data analyst

data scientist Jobs in Dubai Jobs In Dubai Jobs In Ajman

data scientist

devops engineer Jobs in Dubai Jobs In Dubai Jobs In Ajman

devops engineer

sr. data scientist, algorithms Jobs in Dubai Jobs In Dubai Jobs In Ajman

sr. data scientist, algorithms

agentic devops lead – data & ai Jobs in Dubai Jobs In Dubai Jobs In Ajman

agentic devops lead – data & ai

agentic devops lead data ai

Accenture

<div>Accenture Technology:
Through unmatched industry experience, leading technologies from our ecosystem partners and startups, and the largest delivery network in the world, we provide a powerful range of capabilities that can be tailored to our client&rsquo;s most complex business needs. With over 100 innovation hubs deployed around the world, we help clients continuously innovate at speed and at scale so they can outpace their peers. You will bring innovation, intelligence, and industry experience together with the newest technologies to help clients innovate at scale and transform their businesses. Visit us at www.accenture.com.
We Are:
The beginning of a new Data &amp; AI decade&mdash;one that will reshape work and society&mdash;has arrived. Accenture is stepping boldly into this future with a clear strategy and purpose: to help clients optimize and reinvent their business with data and AI. Backed by a $3B investment and a deep commitment to our people, we enable industry-defining work at global scale.
With over 45,000 Data &amp; AI professionals, Accenture&rsquo;s Data &amp; AI organization combines experienced innovation, strategic investment, exceptional talent, and a powerful ecosystem to deliver transformational outcomes for our clients. 
You Are: 
As an Artificial Intelligence and Machine Learning Computational Science professional, you will play a pivotal role in formulating real-world problems into practical, efficient, and scalable AI and Machine Learning solutions. You will be responsible for developing and implementing cutting-edge artificial intelligence solutions that drive innovation and enhance performance. You will collaborate with cross-functional teams and leverage your expertise in machine learning, deep learning, and data analysis to solve complex problems and deliver impactful AI-driven solutions. 
 
The Work: 
We are seeking an experienced Agentic DevOps Lead to lead our Agentic DevOps initiatives. This role is pivotal in scaling our Generative AI agentic solutions across diverse cloud environments. You will architect and operationalize a reusable, portable Agentic DevOps framework that ensures production readiness, observability, and deployment efficiency for agentic applications. 
You will lead a team of reinventors&mdash;engineers, architects, and DevOps specialists&mdash;focused on delivering industry-leading agentic systems that are robust, scalable, and client-ready. 
 
Key Responsibilities:<ul><li>
Lead Agentic DevOps Strategy: Define and implement scalable DevOps frameworks for agentic systems using LangGraph, Crew AI, Autogen, and other orchestration tools.</li><li>
Framework Development: Build reusable scaffolding for agent lifecycle management, orchestration, monitoring, and metering.</li><li>
Cloud-Native Deployment: Architect and manage CI/CD pipelines for public and private cloud environments (AWS, Azure, GCP).</li><li>
Production Readiness: Ensure agentic applications meet enterprise-grade standards for security, reliability, and compliance.</li><li>
Team Leadership: Mentor and manage cross-functional teams across DevOps, AI engineering, and client enablement.</li><li>
Client Enablement: Collaborate with solution architects to tailor deployments for client environments and ensure seamless onboarding.</li></ul> 
Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements.</div>
 
<div>Required Qualifications &amp; Experience:<ul><li>
15+ years of professional experience, supported by relevant educational qualifications</li><li>
Strong background in Artificial Intelligence, Machine Learning, Computational Science, or Applied Machine Learning</li><li>
Proven experience leading DevOps or platform engineering initiatives for AI-driven systems</li><li>
Hands-on experience with Generative AI agentic frameworks and orchestration tools</li><li>
Deep expertise in cloud-native architectures and CI/CD pipelines</li><li>
Demonstrated experience deploying and operating solutions across AWS, Microsoft Azure, and/or Google Cloud Platform (GCP)</li><li>
Strong leadership, communication, and stakeholder management skills</li></ul>
Preferred Qualifications:<ul><li>
Experience designing and operating multi-agent systems in production environments</li><li>
Familiarity with AI observability, monitoring, and governance frameworks</li><li>
Experience working in large-scale enterprise or consulting environments</li><li>
Exposure to regulated or security-sensitive industries</li></ul>
Why Join Us?<ul><li>
We offer a transparent, fast paced approach career progression, with a focus on your strengths and continuous coaching from senior colleagues</li><li>
You will benefit from working alongside Accenture experts who are solving some of the biggest industry challenges with innovative thinking and pioneering tools</li><li>
Flexible work arrangements and a range of benefits including competitive rewards</li><li>
You will have access to state-of-the-art technology that will give you the opportunity to deepen your existing skills even as you help create the latest business trends</li><li>
You will also have opportunities to make a difference to the communities in which we work and live</li></ul>
Next Steps:
If this sounds like the ideal role, career and company for you, click to apply.
To learn more about life @AccentureMiddleEast, follow us on social media and keep up with our latest news.
Accenture Middle East: LinkedIn, Instagram, Facebook, Twitter, YouTube</div>

Agentic DevOps Lead – Data & AI

DAMAC Group

<div>
 
 
 AI Manager - Agentic AI
 
 
 
 
 
 
 We&rsquo;re building production-grade AI agents in Python that automate real workflows across Finance and our wider Operations. We are searching for an AI Manager (80% hands on).
 
 
 
 
 
 This role reports to the AI Director in our DAMAC Executive Heights Head office in Dubai. You&rsquo;ll design, build, and operate agentic platforms and LLM-powered applications end-to-end including architecture, integration, evaluation, monitoring, and continuous improvement. Success is measured in autonomous resolution, workflow automation, and measurable time/cost savings, not proof of concept. You&rsquo;ll need evidence of what you&rsquo;ve shipped, how many current users and what tangible benefits you&rsquo;ve made with your product.
 
 
 
 
 
 
 Evidenced Skills:
 
 
 <ul>
 <li>
 Production LLM/agent systems that reduce manual admin and speed up finance and operations workflows
 </li>
 <li>
 Integrations across CRM, ERP, MI tools and Cloud services
 </li>
 <li>
 Operating AI systems properly: reliability, observability, SLAs, and performance
 </li>
 <li>
 Enterprise-grade security: permissions, PII handling, audit logging, and guardrails against prompt injection / data exfiltration / unsafe actions
 </li>
 <li>
 Shipped LLM-powered systems to production with uptime, monitoring, and business KPIs
 </li>
 <li>
 Strong hands-on engineering + applied DS/ML capability
 </li>
 <li>
 Comfortable building in-house (no vendor-led delivery), owning outcomes, and working across business functions
 </li>
 <li>
 Line managed others as we grow and scale our team
 </li>
 <li>
 Bachelor&rsquo;s Degree (Minimum) In Computer Science, Computer Engineering, Data Science, Statistical Modelling
 </li>
 <li>
 A history of Python coding experience, 5 yrs + as an Engineer, Developer or Data Scientist, moving in to Technical Leader / Hands on Management.
 </li>
 </ul>
 
 
 
 
 Tech stack: Python, Multi Agentic AI product build, Orchestration Layers, APIs to Data lakes. Knowledge and Data Layers, Azure.
 
 
 
 
 
 If you&rsquo;ve built real agentic systems that run in production and drive measurable operational impact, please apply.
 
</div>

AI Manager

RAKBANK

<div>
 
 At
 
 RAKBANK
 
 , we believe in fostering a culture of innovation, growth, and excellence. We are not just a bank &ndash; we are a community that thrives on teamwork, cutting-edge solutions, and the highest standards of governance.
 
 
 
 Job Description
 
 
 
 
 Role Purpose:
 
 
 
 The
 
 AI Platform Owner
 
 is responsible for
 
 owning, building, scaling, and operating the enterprise AI platform
 
 for the bank. This role leads the
 
 technology side of AI enablement
 
 , ensuring that Large Language Models (LLMs), AI tools, and agentic capabilities are
 
 secure, scalable, cost-effective, and reusable
 
 across business and technology use cases.
 
 
 The role acts as the
 
 single point of accountability
 
 for the AI platform across
 
 cloud and on-prem environments
 
 , balancing
 
 rapid innovation
 
 with
 
 operational stability, governance, and regulatory compliance
 
 .
 
 
 
 Key Objectives
 
 
 <ul>
 <li>
 Establish a
 
 bank-wide AI platform
 
 that enables fast, safe, and scalable AI adoption
 </li>
 <li>
 Enable
 
 multiple AI use cases
 
 across business, operations, risk, compliance, and technology
 </li>
 <li>
 Manage
 
 AI run &amp; change
 
 with strong cost, performance, and reliability controls
 </li>
 <li>
 Continuously evolve the platform in line with
 
 fast-paced advancements in LLMs and AI tooling
 
 </li>
 </ul>
 
 
 Key Responsibilities
 
 
 
 
 1. AI Platform Ownership &amp; Strategy
 
 
 <ul>
 <li>
 Own the
 
 end-to-end AI platform roadmap
 
 , architecture, and operating model
 </li>
 <li>
 Define the
 
 AI platform vision
 
 aligned to enterprise technology and business strategy
 </li>
 <li>
 Decide
 
 build vs buy vs partner
 
 for AI tooling, models, and platforms
 </li>
 <li>
 Ensure the platform supports
 
 current and future AI paradigms
 
 (GenAI, Agentic AI, AI-augmented development, AI-Ops)
 </li>
 </ul>
 
 
 2. LLM &amp; AI Technology Management
 
 
 <ul>
 <li>
 Own lifecycle management of
 
 LLMs and SLMs
 
 (open-source and commercial)
 </li>
 <li>
 Manage:
 </li>
 <li>
 Model selection and evaluation
 </li>
 <li>
 Fine-tuning, prompt strategies, embeddings, and vector stores
 </li>
 <li>
 Inference optimization, latency, throughput, and reliability
 </li>
 <li>
 Enable
 
 multi-model and multi-provider strategy
 
 (cloud, on-prem, hybrid)
 </li>
 </ul>
 
 
 3. Platform Engineering (Cloud &amp; On-Prem)
 
 
 <ul>
 <li>
 Lead deployment and operations of AI platforms across:
 </li>
 <li>
 Public cloud
 </li>
 <li>
 Private cloud / on-prem infrastructure
 </li>
 <li>
 Ensure:
 </li>
 <li>
 High availability, resilience, and scalability
 </li>
 <li>
 Secure data handling and isolation
 </li>
 <li>
 Compliance with data residency and regulatory requirements
 </li>
 <li>
 Integrate AI platform with:
 </li>
 <li>
 Core banking and enterprise systems
 </li>
 <li>
 APIs, event platforms, data platforms, and digital channels
 </li>
 </ul>
 
 
 4. AI Use Case Enablement
 
 
 <ul>
 <li>
 Work closely with
 
 business, operations, risk, compliance, and technology teams
 
 to:
 </li>
 <li>
 Identify high-value AI use cases
 </li>
 <li>
 Prioritize and onboard use cases onto the platform
 </li>
 <li>
 Provide reusable AI services, APIs, and components
 </li>
 <li>
 Enable
 
 rapid experimentation
 
 while maintaining enterprise controls
 </li>
 <li>
 Support AI use cases across:
 </li>
 <li>
 Customer experience
 </li>
 <li>
 Operations &amp; automation
 </li>
 <li>
 Risk, compliance &amp; fraud
 </li>
 <li>
 Engineering productivity (AI-augmented development)
 </li>
 </ul>
 
 
 5. Run &amp; Change Management
 
 
 <ul>
 <li>
 Own
 
 run operations
 
 of the AI platform:
 </li>
 <li>
 Monitoring, performance, incidents, and SLAs
 </li>
 <li>
 Model drift, accuracy, and quality controls
 </li>
 <li>
 Own
 
 change delivery
 
 :
 </li>
 <li>
 Platform enhancements
 </li>
 <li>
 New model onboarding
 </li>
 <li>
 Capability upgrades
 </li>
 <li>
 Establish
 
 clear ownership, escalation, and support models
 
 </li>
 </ul>
 
 
 6. Cost Management &amp; Optimization
 
 
 <ul>
 <li>
 Manage
 
 AI platform costs
 
 across:
 </li>
 <li>
 Model usage (tokens, inference)
 </li>
 <li>
 Compute, storage, and networking
 </li>
 <li>
 Tooling and licensing
 </li>
 <li>
 Define and enforce:
 </li>
 <li>
 Cost visibility and chargeback/showback models
 </li>
 <li>
 Usage limits and optimization strategies
 </li>
 <li>
 Balance
 
 innovation speed vs cost efficiency
 
 </li>
 </ul>
 
 
 7. Governance, Risk &amp; Compliance
 
 
 <ul>
 <li>
 Embed
 
 Responsible AI
 
 principles into the platform
 </li>
 <li>
 Ensure compliance with:
 </li>
 <li>
 Model risk management
 </li>
 <li>
 Data privacy and security
 </li>
 <li>
 Regulatory and audit requirements
 </li>
 <li>
 Implement:
 </li>
 <li>
 Model explainability and auditability
 </li>
 <li>
 Logging, traceability, and controls
 </li>
 <li>
 Partner closely with
 
 Risk, Compliance, Legal, and Security teams
 
 </li>
 </ul>
 
 
 8. Vendor &amp; Ecosystem Management
 
 
 <ul>
 <li>
 Manage relationships with:
 </li>
 <li>
 Cloud providers
 </li>
 <li>
 AI vendors and open-source communities
 </li>
 <li>
 System integrators and partners
 </li>
 <li>
 Stay current with
 
 rapid AI market evolution
 
 and assess impact to the bank
 </li>
 <li>
 Continuously evaluate emerging technologies and platforms
 </li>
 </ul>
 
 
 9. Leadership &amp; Collaboration
 
 
 <ul>
 <li>
 Lead and grow a
 
 high-performing AI platform engineering team
 
 </li>
 <li>
 Work in close partnership with:
 </li>
 <li>
 Enterprise Architecture
 </li>
 <li>
 Platform Owners
 </li>
 <li>
 Data, Digital, Security, and Engineering teams
 </li>
 <li>
 Act as the
 
 AI technology evangelist
 
 within the organization
 </li>
 </ul>
 
 
 Leadership &amp; Delivery
 
 
 <ul>
 <li>
 Proven experience owning
 
 enterprise-scale platforms
 
 </li>
 <li>
 Strong
 
 run + change
 
 ownership mindset
 </li>
 <li>
 Ability to operate in
 
 fast-changing, ambiguous environments
 
 </li>
 <li>
 Experience managing
 
 cost, performance, and reliability at scale
 
 </li>
 </ul>
 
 
 Business &amp; Stakeholder Skills
 
 
 <ul>
 <li>
 Strong ability to translate
 
 business needs into AI platform capabilities
 
 </li>
 <li>
 Comfortable engaging with
 
 senior stakeholders
 
 across business and technology
 </li>
 <li>
 Strong communication and decision-making skills
 </li>
 </ul>
 
 
 Preferred Experience
 
 
 <ul>
 <li>
 Experience in
 
 banking or regulated industries
 
 </li>
 <li>
 Exposure to
 
 AI governance, model risk, and regulatory frameworks
 
 </li>
 <li>
 Experience with
 
 agentic AI or autonomous workflows
 
 </li>
 <li>
 Background in
 
 developer platforms or internal product platforms
 
 </li>
 </ul>
 
 
 Qualifications
 
 
 
 
 Minimum Requirements:
 
 
 
 
 Technical Expertise
 
 
 <ul>
 <li>
 10+ years in
 
 platform, cloud, or enterprise engineering roles
 
 </li>
 <li>
 Strong hands-on experience with:
 </li>
 <li>
 LLM-based platforms and AI tooling
 </li>
 <li>
 Cloud and/or on-prem AI deployments
 </li>
 <li>
 APIs, microservices, data platforms, and event-driven architectures
 </li>
 <li>
 Deep understanding of:
 </li>
 <li>
 LLM architectures, prompt engineering, embeddings, vector databases
 </li>
 <li>
 AI model lifecycle management and MLOps/LLMOps
 </li>
 </ul>
 
 
 
 
 Email detailed Cv to absai.gamariel@rakbank.ae
 
</div>

Platform Owner-AI Platform

<div>Company Description 
At RAKBANK, we believe in fostering a culture of innovation, growth, and excellence. We are not just a bank &ndash; we are a community that thrives on teamwork, cutting-edge solutions, and the highest standards of governance. 
Job Description 
Role Purpose:
The AI Platform Owner is responsible for owning, building, scaling, and operating the enterprise AI platform for the bank. This role leads the technology side of AI enablement, ensuring that Large Language Models (LLMs), AI tools, and agentic capabilities are secure, scalable, cost-effective, and reusable across business and technology use cases.
The role acts as the single point of accountability for the AI platform across cloud and on-prem environments, balancing rapid innovation with operational stability, governance, and regulatory compliance.
Key Objectives<ul><li>
Establish a bank-wide AI platform that enables fast, safe, and scalable AI adoption</li><li>
Enable multiple AI use cases across business, operations, risk, compliance, and technology</li><li>
Manage AI run &amp; change with strong cost, performance, and reliability controls</li><li>
Continuously evolve the platform in line with fast-paced advancements in LLMs and AI tooling</li></ul>
Key Responsibilities
1. AI Platform Ownership &amp; Strategy<ul><li>
Own the end-to-end AI platform roadmap, architecture, and operating model</li><li>
Define the AI platform vision aligned to enterprise technology and business strategy</li><li>
Decide build vs buy vs partner for AI tooling, models, and platforms</li><li>
Ensure the platform supports current and future AI paradigms (GenAI, Agentic AI, AI-augmented development, AI-Ops)</li></ul>
2. LLM &amp; AI Technology Management<ul><li>
Own lifecycle management of LLMs and SLMs (open-source and commercial)</li><li>
Manage:<ul><li>
Model selection and evaluation</li><li>
Fine-tuning, prompt strategies, embeddings, and vector stores</li><li>
Inference optimization, latency, throughput, and reliability</li></ul></li><li>
Enable multi-model and multi-provider strategy (cloud, on-prem, hybrid)</li></ul>
3. Platform Engineering (Cloud &amp; On-Prem)<ul><li>
Lead deployment and operations of AI platforms across:<ul><li>
Public cloud</li><li>
Private cloud / on-prem infrastructure</li></ul></li><li>
Ensure:<ul><li>
High availability, resilience, and scalability</li><li>
Secure data handling and isolation</li><li>
Compliance with data residency and regulatory requirements</li></ul></li><li>
Integrate AI platform with:<ul><li>
Core banking and enterprise systems</li><li>
APIs, event platforms, data platforms, and digital channels</li></ul></li></ul>
4. AI Use Case Enablement<ul><li>
Work closely with business, operations, risk, compliance, and technology teams to:<ul><li>
Identify high-value AI use cases</li><li>
Prioritize and onboard use cases onto the platform</li><li>
Provide reusable AI services, APIs, and components</li></ul></li><li>
Enable rapid experimentation while maintaining enterprise controls</li><li>
Support AI use cases across:<ul><li>
Customer experience</li><li>
Operations &amp; automation</li><li>
Risk, compliance &amp; fraud</li><li>
Engineering productivity (AI-augmented development)</li></ul></li></ul>
5. Run &amp; Change Management<ul><li>
Own run operations of the AI platform:<ul><li>
Monitoring, performance, incidents, and SLAs</li><li>
Model drift, accuracy, and quality controls</li></ul></li><li>
Own change delivery:<ul><li>
Platform enhancements</li><li>
New model onboarding</li><li>
Capability upgrades</li></ul></li><li>
Establish clear ownership, escalation, and support models</li></ul>
6. Cost Management &amp; Optimization<ul><li>
Manage AI platform costs across:<ul><li>
Model usage (tokens, inference)</li><li>
Compute, storage, and networking</li><li>
Tooling and licensing</li></ul></li><li>
Define and enforce:<ul><li>
Cost visibility and chargeback/showback models</li><li>
Usage limits and optimization strategies</li></ul></li><li>
Balance innovation speed vs cost efficiency</li></ul>
7. Governance, Risk &amp; Compliance<ul><li>
Embed Responsible AI principles into the platform</li><li>
Ensure compliance with:<ul><li>
Model risk management</li><li>
Data privacy and security</li><li>
Regulatory and audit requirements</li></ul></li><li>
Implement:<ul><li>
Model explainability and auditability</li><li>
Logging, traceability, and controls</li></ul></li><li>
Partner closely with Risk, Compliance, Legal, and Security teams</li></ul>
8. Vendor &amp; Ecosystem Management<ul><li>
Manage relationships with:<ul><li>
Cloud providers</li><li>
AI vendors and open-source communities</li><li>
System integrators and partners</li></ul></li><li>
Stay current with rapid AI market evolution and assess impact to the bank</li><li>
Continuously evaluate emerging technologies and platforms</li></ul>
9. Leadership &amp; Collaboration<ul><li>
Lead and grow a high-performing AI platform engineering team</li><li>
Work in close partnership with:<ul><li>
Enterprise Architecture</li><li>
Platform Owners</li><li>
Data, Digital, Security, and Engineering teams</li></ul></li><li>
Act as the AI technology evangelist within the organization</li></ul>
Leadership &amp; Delivery<ul><li>
Proven experience owning enterprise-scale platforms</li><li>
Strong run + change ownership mindset</li><li>
Ability to operate in fast-changing, ambiguous environments</li><li>
Experience managing cost, performance, and reliability at scale</li></ul>
Business &amp; Stakeholder Skills<ul><li>
Strong ability to translate business needs into AI platform capabilities</li><li>
Comfortable engaging with senior stakeholders across business and technology</li><li>
Strong communication and decision-making skills</li></ul>
Preferred Experience<ul><li>
Experience in banking or regulated industries</li><li>
Exposure to AI governance, model risk, and regulatory frameworks</li><li>
Experience with agentic AI or autonomous workflows</li><li>
Background in developer platforms or internal product platforms</li></ul> 

Qualifications 
Minimum Requirements:
Technical Expertise<ul><li>
10+ years in platform, cloud, or enterprise engineering roles</li><li>
Strong hands-on experience with:<ul><li>
LLM-based platforms and AI tooling</li><li>
Cloud and/or on-prem AI deployments</li><li>
APIs, microservices, data platforms, and event-driven architectures</li></ul></li><li>
Deep understanding of:<ul><li>
LLM architectures, prompt engineering, embeddings, vector databases</li><li>
AI model lifecycle management and MLOps/LLMOps</li></ul></li></ul></div>

Platform Owner (AI Platform)

DICETEK LLC

<div>We are seeking an AI Developer with a strong background in Python, MLOps, Machine Learning (NLP). In this role, you will design and build end-to-end AI solutions&mdash;from data ingestion and model training to deployment and monitoring&mdash;with a special focus on leveraging large language models (LLMs) and developing agentic AI capabilities.
Experience
7+ years in AI/ML development, data science, or related roles with a proven record of contributing to production-ready AI/ML projects. 
Technical Skills<ul><li>Proficient in Python, including libraries such as NumPy, Pandas, scikit-learn, TensorFlow, and PyTorch.</li><li>Experience with containerization (Docker) and orchestration (Kubernetes/OpenShift).</li><li>Familiarity with GPU acceleration (e.g., NVIDIA CUDA).</li><li>Exposure to MLOps tools for continuous integration and deployment.</li><li>Strong understanding of data engineering concepts (ETL, data pipelines, data preparation).</li><li>Demonstrated experience working with LLMs and natural language processing frameworks, as well as an interest in agentic AI.</li></ul>
Soft Skills<ul><li>Excellent problem-solving and analytical skills focused on developing scalable and maintainable solutions.</li><li>Strong communication and collaboration abilities to work effectively with cross-functional teams.</li><li>Capability to articulate complex AI/ML concepts, especially regarding LLMs and autonomous systems, to diverse audiences.</li></ul></div>

AI Developer

Property Finder

<div>
 
 Property Finder is the leading property portal in the Middle East and North Africa (MENA) region, dedicated to shaping an inclusive future for real estate while spearheading the region&rsquo;s growing tech ecosystem. At its core is a clear and powerful purpose: To change living for good in the region.
 
 
 
 
 
 Founded on the value of great ambitions, Property Finder connects millions of property seekers with thousands of real estate professionals every day. The platform offers a seamless and enriching experience, empowering both buyers and renters to make informed decisions. Since its inception in 2007, Property Finder has evolved into a trusted partner for developers, brokers, and home seekers. As a lighthouse tech company, it continues to create an environment where people can thrive and contribute meaningfully to the transformation of real estate in MENA.
 
 
 
 
 
 
 Position Summary:
 
 
 
 
 
 
 We are looking for a highly experienced
 
 Data Scientist
 
 with foundational skills in
 
 Machine Learning Engineering, and Generative AI
 
 to join our innovative AI &amp; Data Science team. The ideal candidate will bring expertise in advanced predictive modeling, scalable data solutions, and integrating AI systems into enterprise platforms. A strong research mindset is essential to excel in this role.
 
 
 This position plays a critical role in shaping the future of AI-driven decision-making at Property Finder, driving data strategy, and delivering impactful AI solutions.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 
 <ul>
 <li>
 Design and implement advanced predictive and optimization models, leveraging classical ML/Statistical model, deep learning models, and modern AI techniques.
 </li>
 <li>
 Drive applied innovation in Large Language Models (LLMs), Generative AI, and Agentic AI systems, exploring and developing novel applications to enhance and automate user experience, improve lead qualification, personalized recommendations, content creation, or automation and automate workflows.
 </li>
 <li>
 Build end-to-end model development, including experimentation, rigorous evaluation, and deployment into production environments.
 </li>
 <li>
 Build and maintain robust evaluation pipelines, A/B testing frameworks, and model monitoring systems to ensure performance, reliability, and fairness.
 </li>
 <li>
 Develop and optimize advanced analytics and visualization frameworks to support decision-making at scale.
 </li>
 <li>
 Collaborate with engineering teams to ensure production-grade scalability, low latency, and operational resilience of deployed models.
 </li>
 <li>
 Integrate trust and explainability into model design, generate confidence scores, ensure fairness, and maintain auditability.
 </li>
 <li>
 Continuously optimize model performance for scalability, efficiency, and real-world reliability.
 </li>
 <li>
 Implement MLOps and deployment best practices (CI/CD, automated workflows, model registry, versioning, and lifecycle management).
 </li>
 </ul>
 
 
 
 
 
 Cross-Team Collaboration
 
 :
 
 <ul>
 <li>
 Partner with the Data Platform and Engineering teams to optimize model deployment and operational workflows.
 </li>
 <li>
 Work closely with the Strategy, BA, Commercial, and Product teams to align on project objectives and ensure smooth deployment of solutions.
 </li>
 </ul>
 
 
 
 
 
 Desired Qualifications:
 
 
 
 
 
 <ul>
 <li>
 Education: Bachelor or above in Computer Science, Data Science, Machine Learning, or a related field.
 </li>
 <li>
 Experience: At least 3+ years in Data Science or MLE roles and foundational MLOps practices.
 </li>
 </ul>
 
 
 
 
 
 Technical Skills:
 
 
 <ul>
 <li>
 Working knowledge of advanced predictive modeling, optimization, scenario analysis, and statistical methodologies.
 </li>
 <li>
 Strong grasp of supervised/unsupervised methods, evaluation metrics, feature engineering, and model tuning.
 </li>
 <li>
 Proficiency in Python (pandas, NumPy, Scikit-learn); experience with PyTorch or TensorFlow for deep learning.
 </li>
 <li>
 Experience with API development and connecting AI systems to external platforms.
 </li>
 <li>
 Working knowledge in deep learning techniques, including CNNs, RNNs, and transformers.
 </li>
 <li>
 Hands-on experience in applied GenAI/LLMs/Agentic AI augmented with knowledge of transformer-based architectures, prompt engineering, fine-tuning, and retrieval-augmented systems.
 </li>
 <li>
 Experience in leveraging cloud platforms (AWS, GCP, Azure) for scalable AI solutions.
 </li>
 <li>
 Foundational understanding of ML pipelines and Hands-on experience in deployment processes, version control systems (e.g., Git), CI/CD workflows, and containerization tools like Docker.
 </li>
 </ul>
 
 
 
 
 
 Soft Skills:
 
 
 <ul>
 <li>
 Effective communication and collaboration skills, particularly in cross-functional environments.
 </li>
 <li>
 Strategic mindset with the ability to translate business goals into data-driven initiatives.
 </li>
 </ul>
 
 
 
 
 
 Why Join Us?
 
 
 
 
 
 <ul>
 <li>
 Contribute to cutting-edge AI and ML projects in a dynamic and fast-paced environment.
 </li>
 <li>
 Collaborate with top talent across diverse teams and disciplines.
 </li>
 <li>
 Be part of an innovative culture that values advanced research, strategic thinking, and impactful execution.
 </li>
 </ul>
 
 
 
 
 
 Our promise to talent
 
 
 
 
 
 
 At Property Finder, we believe talent thrives in an environment where you can be your best self. Where you are empowered to create, elevate, grow, and care. Our team is made up of the best and brightest, united by a shared ambition to change living for good in the region. We attract top talent who want to make an impact. We firmly believe that when our people grow, we all succeed.
 
 
 
 
 
 
 Property Finder Guiding Principles
 
 
 
 
 
 <ul>
 <li>
 Think Future First
 </li>
 <li>
 Data Beats Opinions, Speed Beats Perfection
 </li>
 <li>
 Optimise for Impact
 </li>
 <li>
 No Ostriches Allowed
 </li>
 <li>
 Our People, Our Power
 </li>
 <li>
 The Biggest Risk is Taking no Risk at All
 </li>
 </ul>
 
 
 
 
 
 Find us at:
 
 
 
 Twitter
 
 
 Facebook
 
 
 Instagram
 
 
 Linkedin
 
 
 Glassdoor
 
</div>

Data Scientist

Salesforce

<div>To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
Job Category
Sales
Job Details
About Salesforce
Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn&rsquo;t a buzzword &mdash; it&rsquo;s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
Ready to level-up your career at the company leading workforce transformation in the agentic era? You&rsquo;re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
<h3 class="jobSectionHeader">About Salesforce
</h3>We are Salesforce, the Customer Company, inspiring the future of business with AI, Data, and CRM. Guided by our core values, we help organisations across every industry transform how they engage with customers, operate at scale, and drive sustainable growth. We empower our people to lead with impact, grow their careers, and improve the state of the world.
If you believe in business as the greatest platform for change and in doing well by doing good, you have come to the right place.
<h3 class="jobSectionHeader">Role Overview
</h3>As a Principal Account Solution Engineer , you will serve as a senior technical and solution leader across complex, high-impact enterprise opportunities. You will own the end-to-end solution strategy, partner closely with senior Account Executives, and engage directly with C-level and executive stakeholders to shape transformational outcomes.
This role is designed for a seasoned professional who combines deep front-office technology expertise with executive presence, proven and on-the-ground Middle East experience, structured thinking, and the ability to operate confidently in fast-moving, ambiguous environments. You will act as a trusted advisor to customers, guiding them through large-scale digital, data, and AI-led transformation initiatives.
<h3 class="jobSectionHeader">Key Responsibilities
</h3><ul><li>Own and lead the solution strategy across strategic and complex enterprise opportunities, ensuring alignment between customer objectives, Salesforce capabilities, and long-term value.
</li><li>Act as the primary technical and solution authority for assigned accounts, building trusted relationships with senior business and technology leaders.
</li><li>Lead advanced, structured discovery with executive stakeholders to uncover business drivers, organisational priorities, and success metrics.
</li><li>Design and articulate end-to-end, multi-cloud Salesforce solutions spanning among others CRM, service management, marketing automation, CDP, analytics, revenue management, industry clouds, integration, and agentic AI use cases.
</li><li>Develop and deliver executive-level presentations, solution narratives, and demonstrations that clearly communicate business value and strategic impact. 
 
</li><li>Confidently present and defend solution approaches in front of C-suite audiences, steering architectural and investment discussions.
</li><li>Guide and influence opportunity strategy, prioritisation, and execution in partnership with Account Executives and extended teams.
</li><li>Respond to complex RFPs, technical evaluations, and architecture discussions with clarity, rigour, and credibility.
</li><li>Mentor and support other Solution Engineers through informal coaching, deal support, and knowledge sharing.
</li><li>Maintain deep and current knowledge of Salesforce products, industry trends, and front-office technology landscapes through continuous learning and enablement.
</li><li>Achieve quarterly and annual objectives aligned to regional and organisational priorities.
</li><li>Travel regularly in the Middle East and engage onsite with customers as required. 
 
</li></ul><h3 class="jobSectionHeader">Core Competencies
</h3>The Principal Account Solution Engineer is expected to demonstrate advanced to expert proficiency across the following areas:
Orchestration: Aligns internal teams and stakeholders around a coherent, executive-ready solution strategy and owns senior technical relationships. 
 
Opportunity Management: Shapes win strategies for complex deals, anticipates risks, and drives disciplined execution. 
 
Solution Support: Provides decisive guidance and timely responses to customer and account team needs. 
 
Solution Discovery: Leads executive-level discovery and synthesises insights into clear solution direction. 
 
Solution Design: Architects scalable, value-led solutions that address both immediate and long-term customer objectives. 
 
Communication Methods: Communicates confidently and persuasively with C-level audiences using narratives, customer journeys, and outcome-focused messaging. 
 
Business Foundations: Demonstrates strong understanding of how enterprises operate, create value, and transform. 
 
Industry Foundations: Applies industry context, processes, and terminology to solution design and executive conversations. 
 
Product Capabilities: Demonstrates deep expertise across Salesforce clouds and front-office technologies, positioning them effectively against customer use cases. 
 
Technical Literacy: Explains how Salesforce fits within broader enterprise architectures, including data platforms, security, governance, and integration patterns. 
 
<h3 class="jobSectionHeader">Required Qualifications
</h3><ul><li>Minimum of 10 to 15 years of professional experience, including 5 or more years working in the Middle East within enterprise or complex organisational environments.
</li><li>Proven experience leading or contributing to large-scale digital transformation initiatives.
</li><li>Strong technical knowledge across front-office technologies, including:
<ul><li>CRM platforms
</li><li>Service management
</li><li>Marketing automation
</li><li>Customer Data Platforms (CDP)
</li><li>Analytics and business intelligence
</li><li>Agentic AI and intelligent automation
</li></ul></li><li>Background in solution engineering, technical consulting, enterprise architecture, or pre-sales within a large technology vendor or equivalent enterprise context.
</li><li>Demonstrated ability to present confidently and credibly to C-suite and senior executive audiences.
</li><li>Experience operating in multi-cloud and multi-industry environments.
</li><li>Strong written, verbal, and presentation skills with a structured, outcome-oriented approach.
</li><li>Proven ability to thrive in high-pace, fast-moving, and ambiguous markets.
</li><li>Strong curiosity, learning mindset, and passion for technology and problem-solving.
</li><li>Willingness and ability to travel and work onsite with customers as required.
</li></ul><h3 class="jobSectionHeader">Language Requirements
</h3><ul><li>Fluency in English is required.
</li><li>Fluency in Arabic is not mandatory but is considered a strong point of differentiation. 
 
</li></ul><h3 class="jobSectionHeader">Additional Information
</h3>Experience will be assessed holistically, including demonstrated leadership, executive presence, and alignment to core competencies. Relevant leadership roles, mentoring experience, and contributions beyond core responsibilities will be considered.
<h3 class="jobSectionHeader">Accommodations
</h3>If you require assistance due to a disability when applying for open positions, please submit a request via the Accommodations Request Form.
<h3 class="jobSectionHeader">Posting Statement
</h3>Salesforce is an equal opportunity employer and is committed to maintaining an inclusive, non-discriminatory workplace. All employment decisions are based on merit, qualifications, and business needs, without regard to race, religion, colour, national origin, sex, sexual orientation, gender identity or expression, age, disability, veteran status, or any other characteristic protected by law.
Unleash Your Potential
When you join Salesforce, you&rsquo;ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best , and our AI agents accelerate your impact so you can do your best . Together, we&rsquo;ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future &mdash; but to redefine what&rsquo;s possible &mdash; for yourself, for AI, and the world.
Accommodations
If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form .
Posting Statement
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that&rsquo;s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications &ndash; without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.</div>

Principal Account Solution Engineer

Explore 2544+ Agentic devops lead data ai in Dubai Jobs In Dubai Jobs In Ajman this January. Find roles across top companies and apply now to boost your career.